A Regional Atmospheric Model Using the Spectral-Element Method.

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Title: A Regional Atmospheric Model Using the Spectral-Element Method.
Authors: Kim, Junghan1 (AUTHOR), Cho, Heeje1 (AUTHOR), Noh, Ilseok1 (AUTHOR), Jang, Jiyeon1 (AUTHOR), Choi, Suk-Jin2 (AUTHOR), Hong, Song-You3 (AUTHOR) hong@ucar.edu
Source: Monthly Weather Review. Apr2026, Vol. 154 Issue 4, p1-14. 14p.
Subjects: Atmospheric models, Spectral element method, Boundary value problems, Weather forecasting
Abstract: This paper introduces a limited-area version of the Korean Integrated Model (KIM), whose global counterpart has been used operationally by the Korea Meteorological Administration (KMA) for weather forecasting since 2020. A central component of the development is the formulation of a lateral boundary condition suitable for KIM's spectral-element dynamical core. In this implementation, the physical variables are specified only along a single line of elements at the model domain boundary, with no additional buffer zones for horizontal differential calculations (such as the advection term). In a perfect-model experimental setup of a short-range forecasting testbed, the regional KIM exhibits the typical benefits of high resolution, aligning with recent advancements in regional-scale modeling. In a climate-modeling testbed, the regional solution reproduces observed atmospheric variables without discernible synoptic-scale drift even in the absence of global solution nudging. The results also indicate that relaxation toward a background field is likely nonessential in this implementation, suggesting better stability and predictive skill of a regional model with the spectral-element-based lateral boundary treatment. [ABSTRACT FROM AUTHOR]
Copyright of Monthly Weather Review is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: A Regional Atmospheric Model Using the Spectral-Element Method.
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  Data: <searchLink fieldCode="AR" term="%22Kim%2C+Junghan%22">Kim, Junghan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cho%2C+Heeje%22">Cho, Heeje</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Noh%2C+Ilseok%22">Noh, Ilseok</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jang%2C+Jiyeon%22">Jang, Jiyeon</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Choi%2C+Suk-Jin%22">Choi, Suk-Jin</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hong%2C+Song-You%22">Hong, Song-You</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> hong@ucar.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Monthly+Weather+Review%22">Monthly Weather Review</searchLink>. Apr2026, Vol. 154 Issue 4, p1-14. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Atmospheric+models%22">Atmospheric models</searchLink><br /><searchLink fieldCode="DE" term="%22Spectral+element+method%22">Spectral element method</searchLink><br /><searchLink fieldCode="DE" term="%22Boundary+value+problems%22">Boundary value problems</searchLink><br /><searchLink fieldCode="DE" term="%22Weather+forecasting%22">Weather forecasting</searchLink>
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  Label: Abstract
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  Data: This paper introduces a limited-area version of the Korean Integrated Model (KIM), whose global counterpart has been used operationally by the Korea Meteorological Administration (KMA) for weather forecasting since 2020. A central component of the development is the formulation of a lateral boundary condition suitable for KIM's spectral-element dynamical core. In this implementation, the physical variables are specified only along a single line of elements at the model domain boundary, with no additional buffer zones for horizontal differential calculations (such as the advection term). In a perfect-model experimental setup of a short-range forecasting testbed, the regional KIM exhibits the typical benefits of high resolution, aligning with recent advancements in regional-scale modeling. In a climate-modeling testbed, the regional solution reproduces observed atmospheric variables without discernible synoptic-scale drift even in the absence of global solution nudging. The results also indicate that relaxation toward a background field is likely nonessential in this implementation, suggesting better stability and predictive skill of a regional model with the spectral-element-based lateral boundary treatment. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Monthly Weather Review is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1175/MWR-D-25-0158.1
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      – Code: eng
        Text: English
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        PageCount: 14
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    Subjects:
      – SubjectFull: Atmospheric models
        Type: general
      – SubjectFull: Spectral element method
        Type: general
      – SubjectFull: Boundary value problems
        Type: general
      – SubjectFull: Weather forecasting
        Type: general
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      – TitleFull: A Regional Atmospheric Model Using the Spectral-Element Method.
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            NameFull: Kim, Junghan
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            NameFull: Cho, Heeje
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            NameFull: Noh, Ilseok
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            NameFull: Jang, Jiyeon
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            NameFull: Choi, Suk-Jin
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            NameFull: Hong, Song-You
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            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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              Value: 154
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